Vikingdb Mcp Server

Vikingdb Mcp Server is an MCP server that connects Large Language Model assistants to VikingDB, a high-performance cloud vector database developed by ByteDance. It allows developers, data engineers, and AI practitioners to interface directly with their vector collections using standard Model Context Protocol messages. Through dedicated tool functions, the server enables connected clients like Claude Desktop to inspect existing collection layouts, check index definitions, upsert structured information, and perform vector searches across stored data. By supplying connection parameters such as the host, region, access keys, and target index details, users can grant an AI assistant direct access to contextual knowledge bases. This setup bridges local agent reasoning with cloud-hosted embeddings and retrieval pipelines, allowing autonomous agents to pull contextual references or persist new records directly during active workflows without manual database administration scripts.

Category: Databases & Data Stores

Tags: embeddings, vector-database, vector-search, vikingdb

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How to install and configure Vikingdb Mcp Server

1. Ensure Python package management tools like uv or Node tooling via npx are installed. 2. To install automatically for Claude Desktop using Smithery, run: bash npx -y @smithery/cli install mcp-server-vikingdb --client claude 3. Alternatively, manually edit claude_desktop_config.json to register the published server: json { "mcpServers": { "mcp-server-vikingdb": { "command": "uvx", "args": [ "mcp-server-vikingdb", "--vikingdb-host", "your host", "--vikingdb-region", "your region", "--vikingdb-ak", "your access key", "--vikingdb-sk", "your secret key", "--collection-name", "your collection name", "--index-name", "your index name" ] } } } 4. Restart Claude Desktop to enable the server.

What you can do with Vikingdb Mcp Server

• Querying ByteDance VikingDB to retrieve relevant semantic context and reference documentation during model conversations. - Upserting conversational knowledge, structured text, or embedded records into specific VikingDB collections for future agent reference. - Inspecting target database collection configurations directly from the LLM client to verify field schemas. - Reviewing active index specifications within VikingDB to confirm vector indexing parameters and search readiness.

Key facts

• https://github.com/KashiwaByte/vikingdb-mcp-server
• Databases & Data Stores
• embeddings, vector-database, vector-search, vikingdb

Part of MCP Servers

What is Vikingdb Mcp Server?

Vikingdb Mcp Server is a Model Context Protocol integration that exposes ByteDance VikingDB vector database operations to AI clients. It allows models to search existing embeddings, upsert information, and explore collection and index details.

What can Vikingdb Mcp Server do?

The server exposes four primary tools: vikingdb-colleciton-intro to inspect collections, vikingdb-index-intro to review indices, vikingdb-upsert-information to add records to the database, and vikingdb-search-information to query stored vector records.

How do I install Vikingdb Mcp Server?

You can install it automatically using the Smithery CLI command for Claude, or configure it manually in Claude Desktop settings by invoking mcp-server-vikingdb via uvx with your host, region, and access keys.

Which MCP clients work with Vikingdb Mcp Server?

It is officially documented for Claude Desktop and can be inspected via the standard MCP Inspector over stdio. It works with any client that adheres to the Model Context Protocol.